In statistics, ordinary least squares (OLS) or linear least squares is a method for estimating the unknown parameters in a linear regression modelâ€¦Â (More)

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2017

2017

- Or Sheffet
- ICML
- 2017

Linear regression is one of the most prevalent techniques in machine learning; however, it is also common to use linearâ€¦Â (More)

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2016

2016

- Garvesh Raskutti, Michael W. Mahoney
- Journal of Machine Learning Research
- 2016

We consider statistical aspects of solving large-scale least-squares (LS) problems using randomized sketching algorithms. For aâ€¦Â (More)

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2013

2013

- Ata KabÃ¡n
- 2013 IEEE 13th International Conference on Dataâ€¦
- 2013

The prospect of carrying out data mining on cheaply compressed versions of high dimensional massive data sets holds tremendousâ€¦Â (More)

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Highly Cited

2013

Highly Cited

2013

- Dong Wang, Huchuan Lu, Ming-Hsuan Yang
- 2013 IEEE Conference on Computer Vision andâ€¦
- 2013

In this paper, we propose a generative tracking method based on a novel robust linear regression algorithm. In contrast toâ€¦Â (More)

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2013

2013

- Paramveer S. Dhillon, Dean P. Foster, Sham M. Kakade, Lyle H. Ungar
- Journal of Machine Learning Research
- 2013

We compare the risk of ridge regression to a simple variant of ordinary least squares, in which one simply projects the data ontoâ€¦Â (More)

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2010

Highly Cited

2010

- Hyonho Chun, SÃ¼ndÃ¼z Keles
- Journal of the Royal Statistical Society. Seriesâ€¦
- 2010

Partial least squares regression has been an alternative to ordinary least squares for handling multicollinearity in severalâ€¦Â (More)

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2010

2010

- Saher Arshad, Saima Qamar, Tayba Jabbar, Ahsan Malik
- FIT
- 2010

This paper gives an insight into the working and efficiency of the two basic algorithms used for parameter estimation: Ordinaryâ€¦Â (More)

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2006

2006

This note formalizes bias and inconsistency results for ordinary least squares (OLS) on the linear probability model and providesâ€¦Â (More)

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2002

Highly Cited

2002

The purpose of model selection algorithms such as All Subsets, Forward Selection, and Backward Elimination is to choose a linearâ€¦Â (More)

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1997

1997

- Mark J. Jensen
- 1997

We develop an ordinary least squares estimator of the long memory parameter from a fractionally integrated process that is anâ€¦Â (More)

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